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version: "2026-05-15"
status: observables_only_value_level_rebuild
purpose: >
Independent inventory of raw or source-emitted observables for large
training-run verification on monitored accelerator clusters. The inventory
lists observable data surfaces and feature values only.
methodology:
organization: "One OXX-numbered list of positive observable surfaces."
use_case: >
Datacenter-observable activity, capability, timing, physical-state,
resource-use, and data-movement values inside a monitored boundary.
value_shape_policy: >
Feature values may be scalar time series, labeled count/rate tables,
coherent interval lists, or coherent event lists. Each value_schema lists
allowed feature value fields. Join keys, source record identifiers, source
URLs, exact asset IDs, administrative IDs, and ticket IDs are implementation
metadata outside the observable feature value.
temporal_policy:
feature_temporal_kind_required: true
sample: "Point or periodic measurement with `sample_time`."
interval: "Value or state observed over a bounded window with `start_time` and `end_time`."
event: "Discrete source-emitted event with `event_time`."
validity_interval: "Capability, inventory, shape, or configuration state valid from `valid_from` until `valid_to`."
reference: "Source-backed reference value without operational event time; source versioning and retrieval metadata are implementation metadata."
scope_policy:
monitored_unit: >
Accelerator cluster, topology domain, rack-scale system, cloud placement
pool, provider-controlled capacity pool, or multi-site operator boundary
over a defined observation window.
include_if: >
The value is directly observed or source-emitted by a datacenter owner,
facility operator, cluster operator, cloud provider, storage/network
operator, monitoring system, or site-specific public/out-of-band source,
and it describes infrastructure activity, capability, timing, physical
state, resource use, or data movement.
access_contexts:
public_or_out_of_band: "Site-specific public records, utility context, electrical permits, service records, and asset timing."
facility_operator: "Facility, rack, PDU, cooling, physical-security, BMS, DCIM, BMC, and change-management records."
cluster_operator: "Scheduler, orchestrator, accelerator telemetry, fabric, storage, monitoring, and maintenance records visible to a cluster operator."
cloud_provider_control_plane: "Provider records for compute provisioning, capacity reservation, placement, billing, audit, networking, and storage."
host_or_orchestrator_resource: "Host, VM, pod, container, cgroup, and infrastructure-only resource quantities."
storage_network_operator: "Filesystem, object-store, block, backup, replication, flow, fabric, route, and network-operation values."
observables:
- id: O01
name: Accelerator inventory, capacity, partitioning, and device state
access_contexts: [facility_operator, cluster_operator, cloud_provider_control_plane]
source_refs: [nvidia_smi, nvidia_dcgm_exporter, amd_smi, google_tpu_monitoring, aws_neuron_container_insights, slurm_gres, kubernetes_device_plugins, redfish_schema_guide]
include: "Accelerator counts, capacity values, source-reported partitioning intervals, and device state values."
features:
- id: accelerator_count_by_family_sku
units: labeled_count_table
temporal_kind: validity_interval
description: "Count accelerators by family, SKU, memory class, and form factor."
value_schema:
fields:
- {name: valid_from, type: timestamp}
- {name: valid_to, type: timestamp}
- {name: accelerator_family, type: categorical}
- {name: accelerator_sku, type: categorical}
- {name: memory_class, type: categorical}
- {name: form_factor, type: categorical}
- {name: count, type: integer, units: accelerators}
- id: memory_capacity_bytes
units: bytes
temporal_kind: sample
description: "Source-reported accelerator device memory capacity."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: value, type: integer, units: bytes}
- id: memory_bandwidth_bytes_per_sec
units: bytes_per_second
temporal_kind: sample
description: "Source-reported accelerator memory-bandwidth capability."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: value, type: number, units: bytes_per_second}
- id: advertised_peak_rate_by_precision
units: labeled_rate_table
temporal_kind: validity_interval
description: "Source-backed peak compute rate by precision or source-reported mode."
value_schema:
fields:
- {name: valid_from, type: timestamp}
- {name: valid_to, type: timestamp}
- {name: precision_or_mode, type: categorical}
- {name: peak_rate, type: number, units: operations_per_second}
- id: accelerator_partitioning_intervals
units: interval_list
temporal_kind: interval
description: "Intervals with start/end time, partition type, slice profile, logical partition count, and sharing mode."
value_schema:
fields:
- {name: start_time, type: timestamp}
- {name: end_time, type: timestamp}
- {name: partition_type, type: categorical}
- {name: slice_profile, type: categorical}
- {name: logical_partition_count, type: integer}
- {name: sharing_mode, type: categorical}
- id: accelerator_power_cap_watts
units: watts
temporal_kind: sample
description: "Source-reported accelerator power cap or configured power limit."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: value, type: number, units: watts}
- id: accelerator_core_clock_hz
units: hertz
temporal_kind: sample
description: "Source-reported accelerator core clock."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: value, type: number, units: hertz}
- id: accelerator_memory_clock_hz
units: hertz
temporal_kind: sample
description: "Source-reported accelerator memory clock."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: value, type: number, units: hertz}
- id: accelerator_p_state
units: categorical_time_series
temporal_kind: sample
description: "Source-reported accelerator performance state."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: state, type: categorical}
- id: accelerator_throttle_state
units: categorical_time_series
temporal_kind: sample
description: "Source-reported throttle state."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: state, type: categorical}
- id: accelerator_performance_limit_state
units: categorical_time_series
temporal_kind: sample
description: "Source-reported performance-limit state."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: state, type: categorical}
- id: inventory_lifecycle_events
units: event_list
temporal_kind: event
description: "Events with event time, inventory event type, asset category, and asset count."
value_schema:
fields:
- {name: event_time, type: timestamp}
- {name: inventory_event_type, type: categorical}
- {name: asset_category, type: categorical}
- {name: asset_count, type: integer}
- id: accelerator_health_error_state
units: counters_and_state
temporal_kind: sample
description: "Source-reported device health, error, reset, link-error, throttle, and degraded-state counters."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: ecc_error_count, type: integer}
- {name: retired_page_count, type: integer}
- {name: xid_or_equivalent_error_count, type: integer}
- {name: reset_count, type: integer}
- {name: link_error_count, type: integer}
- {name: throttle_event_count, type: integer}
- {name: degraded_state, type: boolean_or_categorical}
- id: O02
name: Accelerator topology and interconnect capability
access_contexts: [cluster_operator, cloud_provider_control_plane, storage_network_operator]
source_refs: [nvidia_ufm_telemetry, nvidia_ufm_port_counters, aws_efa, kubernetes_device_plugins, slurm_gres, google_vpc_flow_logs]
include: "Local, scale-out, and cross-site fabric capability values and source-reported topology changes."
features:
- id: local_accelerator_interconnect_domain
units: capability_table
temporal_kind: validity_interval
description: "Local fabric type, local fabric bandwidth, and local fabric device count."
value_schema:
fields:
- {name: valid_from, type: timestamp}
- {name: valid_to, type: timestamp}
- {name: local_fabric_type, type: categorical}
- {name: local_fabric_bandwidth_gbps, type: number, units: gigabits_per_second}
- {name: local_fabric_device_count, type: integer}
- id: scaleout_fabric_domain_graph
units: capability_table
temporal_kind: validity_interval
description: "Scale-out fabric type, node count, link count, link bandwidth, and switch count."
value_schema:
fields:
- {name: valid_from, type: timestamp}
- {name: valid_to, type: timestamp}
- {name: scaleout_fabric_type, type: categorical}
- {name: node_count, type: integer}
- {name: link_count, type: integer}
- {name: link_bandwidth_gbps, type: number, units: gigabits_per_second}
- {name: switch_count, type: integer}
- id: cross_site_or_dci_connectivity
units: link_capability_state
temporal_kind: sample
description: "Cross-site link type, link capacity, and service state."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: link_type, type: categorical}
- {name: link_capacity_gbps, type: number, units: gigabits_per_second}
- {name: service_state, type: categorical}
- id: topology_change_events
units: event_list
temporal_kind: event
description: "Events with event time, topology change type, affected asset category, and affected link or port count."
value_schema:
fields:
- {name: event_time, type: timestamp}
- {name: topology_change_type, type: categorical}
- {name: affected_asset_category, type: categorical}
- {name: affected_link_or_port_count, type: integer}
- id: O03
name: Scheduler allocation and reservation activity
access_contexts: [cluster_operator, host_or_orchestrator_resource]
source_refs: [slurm_sacct, slurm_gres, kubernetes_device_plugins, kubernetes_events, kubernetes_audit]
include: "Non-semantic allocation, reservation, and preemption values."
features:
- id: allocated_accelerator_count_by_sku
units: labeled_count_table
temporal_kind: interval
description: "Allocated accelerator count by SKU, profile, or physical/logical partition."
value_schema:
fields:
- {name: start_time, type: timestamp}
- {name: end_time, type: timestamp}
- {name: accelerator_sku, type: categorical}
- {name: accelerator_profile, type: categorical}
- {name: partition_scope, type: categorical}
- {name: count, type: integer, units: accelerators}
- id: reservation_state_intervals
units: interval_list
temporal_kind: interval
description: "Reservation intervals with start/end time, reservation state, directly recorded capacity count, and accelerator shape or SKU."
value_schema:
fields:
- {name: start_time, type: timestamp}
- {name: end_time, type: timestamp}
- {name: reservation_state, type: categorical}
- {name: reservation_capacity_count, type: integer}
- {name: accelerator_shape_or_sku, type: categorical}
- id: allocation_preemption_events
units: event_list
temporal_kind: event
description: "Events with event time, preempted resource count, and resource type when directly recorded."
value_schema:
fields:
- {name: event_time, type: timestamp}
- {name: preempted_resource_count, type: integer}
- {name: resource_type, type: categorical}
- id: O04
name: Cloud compute, capacity reservation, quota, and billing activity
access_contexts: [cloud_provider_control_plane]
source_refs: [aws_cloudtrail, aws_cur, aws_ec2_capacity_blocks, aws_efa, google_cloud_audit_logs, google_cloud_billing_export, azure_monitor_vm]
include: "Provider-side accelerated compute shape, running interval, reservation, quota, capacity-exception, and accelerator billing values."
features:
- id: instance_type_shape_machine_type
units: capability_table
temporal_kind: validity_interval
description: "Compute shape, accelerator type, accelerator count, and bare-metal state."
value_schema:
fields:
- {name: valid_from, type: timestamp}
- {name: valid_to, type: timestamp}
- {name: instance_shape, type: categorical}
- {name: accelerator_type, type: categorical}
- {name: accelerator_count, type: integer}
- {name: bare_metal, type: boolean}
- id: compute_running_intervals
units: interval_list
temporal_kind: interval
description: "Intervals during which accelerator-bearing compute resources were running, with directly recorded state, accelerator count, and accelerator shape or SKU when available."
value_schema:
fields:
- {name: start_time, type: timestamp}
- {name: end_time, type: timestamp}
- {name: compute_resource_state, type: categorical}
- {name: accelerator_count, type: integer}
- {name: accelerator_shape_or_sku, type: categorical}
- id: capacity_reservation_intervals
units: interval_list
temporal_kind: interval
description: "Reservation intervals with start/end time, reservation state, reserved accelerator count, and accelerator shape or SKU."
value_schema:
fields:
- {name: start_time, type: timestamp}
- {name: end_time, type: timestamp}
- {name: reservation_state, type: categorical}
- {name: reserved_accelerator_count, type: integer}
- {name: accelerator_shape_or_sku, type: categorical}
- id: quota_limit_intervals
units: interval_list
temporal_kind: interval
description: "Quota intervals with start/end time, quota resource type, and quota limit value."
value_schema:
fields:
- {name: start_time, type: timestamp}
- {name: end_time, type: timestamp}
- {name: quota_resource_type, type: categorical}
- {name: quota_limit_value, type: number}
- {name: quota_limit_unit, type: categorical}
- id: capacity_exception_events
units: event_list
temporal_kind: event
description: "Events with event time, capacity exception type, requested resource count, and resource type when directly recorded."
value_schema:
fields:
- {name: event_time, type: timestamp}
- {name: capacity_exception_type, type: categorical}
- {name: requested_resource_count, type: integer}
- {name: resource_type, type: categorical}
- id: accelerator_compute_billing_usage_intervals
units: interval_list
temporal_kind: interval
description: "Accelerator-bearing compute usage intervals with usage quantity, usage unit, accelerator shape or SKU, and billing usage type."
value_schema:
fields:
- {name: start_time, type: timestamp}
- {name: end_time, type: timestamp}
- {name: usage_quantity, type: number}
- {name: usage_unit, type: categorical}
- {name: accelerator_shape_or_sku, type: categorical}
- {name: billing_usage_type, type: categorical}
- id: accelerator_reservation_billing_usage_intervals
units: interval_list
temporal_kind: interval
description: "Accelerator-capacity reservation usage intervals with usage quantity, usage unit, accelerator shape or SKU, and billing usage type."
value_schema:
fields:
- {name: start_time, type: timestamp}
- {name: end_time, type: timestamp}
- {name: usage_quantity, type: number}
- {name: usage_unit, type: categorical}
- {name: accelerator_shape_or_sku, type: categorical}
- {name: billing_usage_type, type: categorical}
- id: O05
name: Accelerator activity, memory, thermal, and health telemetry
access_contexts: [cluster_operator, cloud_provider_control_plane]
source_refs: [nvidia_dcgm_exporter, nvidia_smi, amd_smi, google_tpu_monitoring, aws_neuron_container_insights, google_compute_gpu_monitoring]
include: "Generic source-reported accelerator utilization, memory, thermal, clock, limit-state, and health telemetry."
features:
- id: accelerator_busy_or_utilization_fraction
units: fraction
temporal_kind: sample
description: "Reported device busy, utilization, duty cycle, or equivalent accelerator activity fraction."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: value, type: number, units: fraction}
- id: tensor_matrix_mxu_neuron_or_engine_active_fraction
units: fraction
temporal_kind: sample
description: "Generic compute-engine active fraction such as tensor, matrix, MXU, Neuron, SM, or accelerator-engine active time."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: value, type: number, units: fraction}
- {name: engine_scope, type: categorical}
- id: hbm_or_device_memory_used
units: bytes
temporal_kind: sample
description: "Source-reported device memory used, free, allocated, or high-water value."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: value, type: integer, units: bytes}
- {name: memory_value_type, type: categorical}
- id: memory_bandwidth_or_dram_active
units: bytes_per_second_or_fraction
temporal_kind: sample
description: "Source-reported memory bandwidth, DRAM/HBM active fraction, or equivalent memory activity."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: value, type: number}
- {name: unit, type: categorical}
- {name: memory_activity_type, type: categorical}
- id: accelerator_temperature_celsius
units: degrees_celsius
temporal_kind: sample
description: "Source-reported accelerator, HBM, board, or component temperature."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: value, type: number, units: degrees_celsius}
- {name: temperature_scope, type: categorical}
- id: accelerator_power_limit_active
units: boolean_or_categorical_time_series
temporal_kind: sample
description: "Source-reported power-limit active state."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: state, type: boolean_or_categorical}
- id: accelerator_thermal_limit_active
units: boolean_or_categorical_time_series
temporal_kind: sample
description: "Source-reported thermal-limit active state."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: state, type: boolean_or_categorical}
- id: O06
name: Direct achieved-operation counters
access_contexts: [cluster_operator, cloud_provider_control_plane]
source_refs: [nvidia_dcgm_exporter, google_tpu_monitoring, aws_neuron_container_insights, amd_smi]
include: "Achieved-operation counters only when directly emitted by hardware or provider telemetry."
features:
- id: generic_achieved_operation_rate
units: operations_per_second
temporal_kind: sample
description: "Directly source-emitted operation, matrix-engine, FLOP-like, or accelerator throughput rate."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: operation_rate, type: number, units: operations_per_second}
- {name: operation_unit, type: categorical}
- {name: counter_scope, type: categorical}
- id: O07
name: Local accelerator interconnect telemetry
access_contexts: [cluster_operator, cloud_provider_control_plane]
source_refs: [nvidia_dcgm_exporter, nvidia_smi, amd_smi]
include: "Local accelerator interconnect byte counters and link state telemetry."
features:
- id: local_interconnect_tx_rx_bytes
units: bytes
temporal_kind: sample
description: "Local accelerator fabric transmit and receive bytes."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: tx_bytes, type: integer, units: bytes}
- {name: rx_bytes, type: integer, units: bytes}
- id: local_link_error_recovery_throttle
units: counters_and_events
temporal_kind: sample
description: "Local link errors, recovery events, degraded link state, replay counters, and fabric throttling."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: link_error_count, type: integer}
- {name: recovery_event_count, type: integer}
- {name: degraded_link_state, type: boolean_or_categorical}
- {name: replay_count, type: integer}
- {name: throttle_state, type: boolean_or_categorical}
- id: O08
name: Scale-out fabric and high-performance network telemetry
access_contexts: [cluster_operator, cloud_provider_control_plane, storage_network_operator]
source_refs: [nvidia_ufm_telemetry, nvidia_ufm_port_counters, aws_efa, aws_vpc_flow_logs, google_vpc_flow_logs]
include: "Scale-out fabric, NIC, switch, and high-performance network counters."
features:
- id: scaleout_port_tx_rx_bytes_packets
units: bytes_and_packets
temporal_kind: sample
description: "Port, NIC, switch, queue, or fabric transmit/receive bytes and packets."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: tx_bytes, type: integer, units: bytes}
- {name: rx_bytes, type: integer, units: bytes}
- {name: tx_packets, type: integer, units: packets}
- {name: rx_packets, type: integer, units: packets}
- id: rdma_congestion_retry_drop_error_counters
units: counters_and_events
temporal_kind: sample
description: "RDMA/fabric congestion, retry, drop, retransmit, PFC/ECN, link-error, and XmitWait-like counters."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: congestion_event_count, type: integer}
- {name: retry_count, type: integer}
- {name: drop_count, type: integer}
- {name: retransmit_count, type: integer}
- {name: pfc_or_ecn_count, type: integer}
- {name: link_error_count, type: integer}
- {name: xmit_wait_time, type: number}
- id: fabric_port_device_sample_counters
units: counters_by_sample
temporal_kind: sample
description: "Per-sample fabric counters for ports, devices, racks, or monitored site scopes."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: counter_name, type: categorical}
- {name: counter_value, type: number}
- {name: counter_unit, type: categorical}
- {name: monitored_scope_category, type: categorical}
- id: O09
name: General network, egress, gateway, and data-center interconnect telemetry
access_contexts: [cloud_provider_control_plane, storage_network_operator]
source_refs: [aws_vpc_flow_logs, google_vpc_flow_logs, azure_nsg_flow_logs, aws_cloudtrail, google_cloud_audit_logs]
include: "Flow, byte, connection, route, gateway, and cross-site traffic values."
features:
- id: vpc_or_nsg_flow_records
units: flow_records
temporal_kind: interval
description: "Flow records with time window, action/state, bytes, packets, direction, interface class, and network scope."
value_schema:
fields:
- {name: start_time, type: timestamp}
- {name: end_time, type: timestamp}
- {name: flow_action_or_state, type: categorical}
- {name: bytes, type: integer, units: bytes}
- {name: packets, type: integer, units: packets}
- {name: direction, type: categorical}
- {name: interface_class, type: categorical}
- {name: network_scope, type: categorical}
- id: east_west_internal_flow_bytes
units: bytes_and_counts
temporal_kind: interval
description: "Internal network flow bytes and counts across accelerator nodes, storage systems, and service endpoints."
value_schema:
fields:
- {name: start_time, type: timestamp}
- {name: end_time, type: timestamp}
- {name: bytes, type: integer, units: bytes}
- {name: flow_count, type: integer}
- id: north_south_external_egress
units: bytes_and_counts
temporal_kind: interval
description: "External egress and ingress byte/count values for monitored infrastructure boundaries."
value_schema:
fields:
- {name: start_time, type: timestamp}
- {name: end_time, type: timestamp}
- {name: bytes, type: integer, units: bytes}
- {name: flow_count, type: integer}
- {name: direction, type: categorical}
- id: data_center_interconnect_wan_usage
units: bytes_and_counts
temporal_kind: interval
description: "Private-line, cloud-interconnect, cross-site, metro, WAN, or federation traffic for monitored sites."
value_schema:
fields:
- {name: start_time, type: timestamp}
- {name: end_time, type: timestamp}
- {name: bytes, type: integer, units: bytes}
- {name: flow_count, type: integer}
- {name: link_class, type: categorical}
- id: load_balancer_gateway_flow_activity
units: connections_and_bytes
temporal_kind: interval
description: "Provider-operated load balancer or gateway connection and byte activity at infrastructure scope."
value_schema:
fields:
- {name: start_time, type: timestamp}
- {name: end_time, type: timestamp}
- {name: connection_count, type: integer}
- {name: bytes, type: integer, units: bytes}
- id: network_gateway_nat_route_state
units: events_and_state
temporal_kind: event
description: "NAT, gateway, route, firewall, security group, and route-change state affecting flow records."
value_schema:
fields:
- {name: event_time, type: timestamp}
- {name: network_control_type, type: categorical}
- {name: state_event_type, type: categorical}
- {name: state, type: categorical}
- id: O10
name: Storage, filesystem, cache, and data-movement activity
access_contexts: [storage_network_operator, cloud_provider_control_plane, cluster_operator]
source_refs: [aws_s3_server_access_logs, aws_fsx_lustre_metrics, google_cloud_audit_logs, aws_cloudtrail]
include: "Storage timing, bytes, operation counts, cache counters, and coherent storage-operation intervals."
features:
- id: storage_read_operation_bytes
units: bytes_and_operations
temporal_kind: interval
description: "Read operation counts and read byte counts by time window and storage scope."
value_schema:
fields:
- {name: start_time, type: timestamp}
- {name: end_time, type: timestamp}
- {name: read_operation_count, type: integer}
- {name: read_bytes, type: integer, units: bytes}
- id: storage_write_operation_bytes
units: bytes_and_operations
temporal_kind: interval
description: "Write operation counts and write byte counts by time window and storage scope."
value_schema:
fields:
- {name: start_time, type: timestamp}
- {name: end_time, type: timestamp}
- {name: write_operation_count, type: integer}
- {name: write_bytes, type: integer, units: bytes}
- id: filesystem_throughput_metadata_ops
units: bytes_per_second_and_operations
temporal_kind: sample
description: "Filesystem read/write throughput, metadata operation counts, queueing, and client I/O values."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: read_bytes_per_sec, type: number, units: bytes_per_second}
- {name: write_bytes_per_sec, type: number, units: bytes_per_second}
- {name: metadata_operation_count, type: integer}
- {name: queue_depth, type: number}
- {name: client_io_operation_count, type: integer}
- id: cache_hit_miss_counters
units: counts
temporal_kind: interval
description: "Object cache, filesystem cache, or local SSD staging hit/miss and access counters."
value_schema:
fields:
- {name: start_time, type: timestamp}
- {name: end_time, type: timestamp}
- {name: cache_hit_count, type: integer}
- {name: cache_miss_count, type: integer}
- {name: access_count, type: integer}
- id: object_storage_operation_counts
units: bytes_and_counts
temporal_kind: interval
description: "Object-store operation counts, distinct object counts when directly available, and transferred bytes by time window and operation type."
value_schema:
fields:
- {name: start_time, type: timestamp}
- {name: end_time, type: timestamp}
- {name: operation_type, type: categorical}
- {name: operation_count, type: integer}
- {name: object_count, type: integer}
- {name: bytes, type: integer, units: bytes}
- {name: object_count_type, type: categorical}
- id: storage_operation_intervals
units: interval_list
temporal_kind: interval
description: "Storage backup, restore, migration, rebuild, replication, or disaster-recovery intervals with operation type and bytes moved when directly recorded."
value_schema:
fields:
- {name: start_time, type: timestamp}
- {name: end_time, type: timestamp}
- {name: operation_type, type: categorical}
- {name: bytes_moved, type: integer, units: bytes}
- id: object_or_file_copy_movement_records
units: bytes_and_routes
temporal_kind: interval
description: "Object or file copy/movement values measured by bytes, route class, and timing."
value_schema:
fields:
- {name: start_time, type: timestamp}
- {name: end_time, type: timestamp}
- {name: operation_type, type: categorical}
- {name: bytes_moved, type: integer, units: bytes}
- {name: route_class, type: categorical}
- id: O11
name: Rack, server, PDU, facility power, and energy telemetry
access_contexts: [facility_operator, cluster_operator, cloud_provider_control_plane]
source_refs: [redfish_standard, redfish_schema_guide, nvidia_dcgm_exporter, nvidia_smi]
include: "Power and energy readings from devices, servers, racks, rooms, and facility power infrastructure."
features:
- id: accelerator_device_power_energy
units: watts_and_joules
temporal_kind: sample
description: "Device-reported power and energy as a paired physical activity time series."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: power_watts, type: number, units: watts}
- {name: energy_joules, type: number, units: joules}
- id: server_system_input_power
units: watts
temporal_kind: sample
description: "Server, tray, rack-scale system, or BMC input power."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: power_watts, type: number, units: watts}
- id: rack_pdu_it_power
units: watts_and_joules
temporal_kind: sample
description: "Rack PDU, busway, breaker, or rack-level IT power and energy."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: power_watts, type: number, units: watts}
- {name: energy_joules, type: number, units: joules}
- id: facility_or_room_it_power_rollup
units: watts_and_joules
temporal_kind: sample
description: "UPS, switchgear, room, pod, row, or facility IT power rollup for the monitored boundary."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: power_watts, type: number, units: watts}
- {name: energy_joules, type: number, units: joules}
- {name: facility_scope_category, type: categorical}
- id: power_cap_violation_throttle_state
units: events_and_state
temporal_kind: event
description: "Source-reported power cap, throttle, limit-violation, and performance-limit events."
value_schema:
fields:
- {name: event_time, type: timestamp}
- {name: power_cap_watts, type: number, units: watts}
- {name: throttle_state, type: boolean_or_categorical}
- {name: limit_violation_state, type: boolean_or_categorical}
- {name: performance_limit_state, type: boolean_or_categorical}
- id: O12
name: Cooling, airflow, thermal, and environmental telemetry
access_contexts: [facility_operator, cluster_operator]
source_refs: [redfish_standard, redfish_schema_guide, nvidia_dcgm_exporter, nvidia_smi]
include: "Cooling, airflow, environmental, and control-state values for monitored devices and facility scopes."
features:
- id: inlet_outlet_air_or_coolant_temperature
units: degrees_celsius
temporal_kind: sample
description: "Rack/server inlet/outlet, liquid inlet/outlet, rear-door, CDU, and heat-exchanger temperatures."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: inlet_temperature_celsius, type: number, units: degrees_celsius}
- {name: outlet_temperature_celsius, type: number, units: degrees_celsius}
- {name: temperature_scope, type: categorical}
- id: coolant_flow_rate
units: flow_rate
temporal_kind: sample
description: "Source-reported coolant flow rate."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: value, type: number}
- {name: unit, type: categorical}
- id: coolant_pressure
units: pressure
temporal_kind: sample
description: "Source-reported coolant pressure."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: value, type: number}
- {name: unit, type: categorical}
- id: pump_speed_or_state
units: rpm_percent_or_categorical
temporal_kind: sample
description: "Source-reported pump speed or pump state."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: pump_speed, type: number}
- {name: pump_speed_unit, type: categorical}
- {name: pump_state, type: categorical}
- id: valve_position_or_state
units: percent_or_categorical
temporal_kind: sample
description: "Source-reported valve position or valve state."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: valve_position_percent, type: number, units: percent}
- {name: valve_state, type: categorical}
- id: cooling_alarm_state
units: boolean_or_categorical_time_series
temporal_kind: sample
description: "Source-reported cooling alarm state."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: state, type: boolean_or_categorical}
- id: fan_speed_rpm_or_percent
units: rpm_or_percent
temporal_kind: sample
description: "Source-reported fan speed."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: value, type: number}
- {name: unit, type: categorical}
- id: airflow_rate
units: airflow_rate
temporal_kind: sample
description: "Source-reported airflow rate."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: value, type: number}
- {name: unit, type: categorical}
- id: thermal_control_mode
units: categorical_time_series
temporal_kind: sample
description: "Source-reported thermal or cooling control mode."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: state, type: categorical}
- id: source_reported_airflow_state
units: categorical_time_series
temporal_kind: sample
description: "Source-reported airflow state."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: state, type: categorical}
- id: outdoor_air_temperature_celsius
units: degrees_celsius
temporal_kind: sample
description: "Source-reported outdoor air temperature for the site or facility scope."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: value, type: number, units: degrees_celsius}
- id: outdoor_humidity_percent
units: percent
temporal_kind: sample
description: "Source-reported outdoor humidity for the site or facility scope."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: value, type: number, units: percent}
- id: hvac_control_mode
units: categorical_time_series
temporal_kind: sample
description: "Source-reported HVAC control mode."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: state, type: categorical}
- id: economizer_state
units: categorical_time_series
temporal_kind: sample
description: "Source-reported economizer state."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: state, type: categorical}
- id: facility_temperature_setpoint_celsius
units: degrees_celsius
temporal_kind: sample
description: "Source-reported facility temperature setpoint, when available."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: value, type: number, units: degrees_celsius}
- id: O13
name: Host, VM, container, and cgroup resource activity
access_contexts: [host_or_orchestrator_resource, cluster_operator, cloud_provider_control_plane]
source_refs: [kubernetes_device_plugins, kubernetes_events, kubernetes_audit, aws_neuron_container_insights, azure_monitor_vm]
include: "Non-semantic resource request, limit, usage, and resource-container lifecycle values."
features:
- id: container_resource_request_quantity
units: resource_quantity
temporal_kind: sample
description: "Requested resource quantity by resource type, unit, and sample/window time."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: resource_type, type: categorical}
- {name: quantity, type: number}
- {name: unit, type: categorical}
- id: container_resource_limit_quantity
units: resource_quantity
temporal_kind: sample
description: "Resource limit quantity by resource type, unit, and sample/window time."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: resource_type, type: categorical}
- {name: quantity, type: number}
- {name: unit, type: categorical}
- id: container_resource_usage_quantity
units: resource_quantity
temporal_kind: sample
description: "Observed resource usage quantity by resource type, unit, and sample/window time."
value_schema:
fields:
- {name: sample_time, type: timestamp}
- {name: resource_type, type: categorical}
- {name: quantity, type: number}
- {name: unit, type: categorical}
- id: resource_container_lifecycle_events
units: event_list
temporal_kind: event
description: "Events with event time, lifecycle event type, and resource-container count."
value_schema:
fields:
- {name: event_time, type: timestamp}
- {name: lifecycle_event_type, type: categorical}
- {name: resource_container_count, type: integer}
- id: O14
name: Operator maintenance, change, and physical-access intervals
access_contexts: [cluster_operator, facility_operator, storage_network_operator]
source_refs: [slurm_sacct, redfish_standard, redfish_schema_guide, aws_fsx_lustre_metrics]
include: "Coarse operator/facility event values that can affect capacity, topology, telemetry, storage, power, cooling, or physical state."
features:
- id: maintenance_operation_intervals
units: interval_list
temporal_kind: interval
description: "Maintenance intervals with start/end time, maintenance type, status, affected asset category/count, and old/new version values only when directly recorded."
value_schema:
fields:
- {name: start_time, type: timestamp}
- {name: end_time, type: timestamp}
- {name: maintenance_type, type: categorical}
- {name: maintenance_status, type: categorical}
- {name: affected_asset_category, type: categorical}
- {name: affected_asset_count, type: integer}
- {name: old_version, type: categorical}
- {name: new_version, type: categorical}
- id: physical_access_events
units: event_list
temporal_kind: event
description: "Events with event time, access scope category, access event type, and access count or state."
value_schema:
fields:
- {name: event_time, type: timestamp}
- {name: access_scope_category, type: categorical}
- {name: access_event_type, type: categorical}
- {name: access_count_or_state, type: integer_or_categorical}
- id: O15
name: Site-specific utility, electrical, and asset timing records
access_contexts: [public_or_out_of_band, facility_operator]
source_refs: [epoch_frontier_datacenters, redfish_schema_guide]
include: "Site-specific external or facility records with concrete utility, electrical, and asset-timing values for an already identified monitored site."
features:
- id: utility_interconnection_status_intervals
units: interval_list
temporal_kind: interval
description: "Interconnection intervals with start/end time, status, requested load, contracted load, voltage, and service class when directly recorded."
value_schema:
fields:
- {name: start_time, type: timestamp}
- {name: end_time, type: timestamp}
- {name: interconnection_status, type: categorical}
- {name: requested_load_mw, type: number, units: megawatts}
- {name: contracted_load_mw, type: number, units: megawatts}
- {name: voltage_kv, type: number, units: kilovolts}
- {name: service_class, type: categorical}
- id: electrical_service_status_intervals
units: interval_list
temporal_kind: interval
description: "Electrical service or energization intervals with start/end time, service status, capacity, voltage, and service class when directly recorded."
value_schema:
fields:
- {name: start_time, type: timestamp}
- {name: end_time, type: timestamp}
- {name: service_status, type: categorical}
- {name: service_capacity_mw, type: number, units: megawatts}
- {name: service_capacity_mva, type: number, units: megavolt_amperes}
- {name: service_voltage_kv, type: number, units: kilovolts}
- {name: service_class, type: categorical}
- id: electrical_permit_status_intervals
units: interval_list
temporal_kind: interval
description: "Electrical permit intervals with start/end time, permit status, equipment type, and permitted capacity/voltage values when directly recorded."
value_schema:
fields:
- {name: start_time, type: timestamp}
- {name: end_time, type: timestamp}
- {name: permit_status, type: categorical}
- {name: electrical_equipment_type, type: categorical}
- {name: permitted_transformer_mva, type: number, units: megavolt_amperes}
- {name: permitted_switchgear_mva, type: number, units: megavolt_amperes}
- {name: permitted_service_mw, type: number, units: megawatts}
- {name: permitted_service_mva, type: number, units: megavolt_amperes}
- {name: permitted_voltage_kv, type: number, units: kilovolts}
- id: asset_receiving_installation_events
units: event_list
temporal_kind: event
description: "Receipt or installation events with event time, event type, asset category, and asset quantity."
value_schema:
fields:
- {name: event_time, type: timestamp}
- {name: event_type, type: categorical}
- {name: asset_category, type: categorical}
- {name: asset_quantity, type: integer}
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